Articles | Volume 21, issue 10
https://doi.org/10.5194/hess-21-5293-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/hess-21-5293-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
The CAMELS data set: catchment attributes and meteorology for large-sample studies
Research Applications Laboratory, National Center for Atmospheric Research, Boulder, CO, USA
now at: Climatic Research Unit, School of Environmental Sciences, University of East Anglia, Norwich, UK
Andrew J. Newman
Research Applications Laboratory, National Center for Atmospheric Research, Boulder, CO, USA
Naoki Mizukami
Research Applications Laboratory, National Center for Atmospheric Research, Boulder, CO, USA
Martyn P. Clark
Research Applications Laboratory, National Center for Atmospheric Research, Boulder, CO, USA
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Discussed (final revised paper)
Discussed (final revised paper)
Latest update: 09 Oct 2024
Short summary
We introduce a data set describing the landscape of 671 catchments in the contiguous USA: we synthesized various data sources to characterize the topography, climate, streamflow, land cover, soil, and geology of each catchment. This extends the daily time series of meteorological forcing and discharge provided by an earlier study. The diversity of these catchments will help to improve our understanding and modeling of how the interplay between catchment attributes shapes hydrological processes.
We introduce a data set describing the landscape of 671 catchments in the contiguous USA: we...